Year of Award

2025

Document Type

Thesis

Degree Type

Master of Science (MS)

Degree Name

Computer Science

Department or School/College

Computer Science

Committee Chair

Jesse Johnson

Commitee Members

Jesse Johnson, John Bardsley, John Hoglund, Lucy Owen

Keywords

aviation, wildfire, retardant, firefighting, fire

Subject Categories

Computer Sciences | Data Science | Natural Resources Management and Policy

Abstract

Aerial retardant drops are widely used in wildfire suppression, yet their effectiveness in slowing fire spread remains difficult to quantify at scale. This study evaluates the impact of aerial suppression on wildfire rate of spread (ROS) using a modeling framework that incorporates both observed (real) and counterfactual (synthetic) drop locations from a sample of 62 wildfires in Oregon. Synthetic drops were generated to simulate a no-suppression baseline, allowing us to compare changes in ROS in the presence and absence of suppression. We trained two random forest classifiers: one using both real and synthetic drops (the full model), and another using only synthetic drops to model baseline fire behavior. Both models used a range of environmental and topographic features to predict whether fire spread slowed following a drop. While the full model performed well in predicting ROS outcomes, the indicator distinguishing real from synthetic drops had low feature importance, suggesting limited causal evidence that aerial suppression efforts consistently reduced fire spread. The synthetic-only model produced similarly high predictive performance, reinforcing the possibility that many observed reductions in ROS may have occurred independent of suppression. These findings highlight the challenges of evaluating suppression effectiveness at scale and emphasize the need for improved data resolution, more detailed operational records, and advanced modeling techniques to fully understand the role of aerial fire retardant drops in future wildfire management activities.

Share

COinS
 

© Copyright 2025 Lindsay Ann Wiard